full-time
Quant Engineer
Digital Waffle
- Employer
- Digital Waffle
- Location
- New York
- Working pattern
- on-site
- Salary
- $180,000–$300,000 / year
About the role
Build and maintain high-performance data pipelines, trusted backtesting and simulation infrastructure, and production execution and signal-processing systems. Partner with researchers to implement and productionize models while ensuring data quality, timing, and reproducibility across the research-to-production lifecycle. Requires strong production Python and SQL skills, experience with performance-sensitive engineering, and a track record building data, backtesting, or execution infrastructure in a quantitative or similarly numerically intensive environment. Candidates should understand time-series data pitfalls, use modern AI engineering tools effectively, and be comfortable working autonomously in person with a small team.